Instructions to use CLMBR/full-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/full-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/full-lstm-2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7879a8eb13a19bd716086cc94f4456ac712737ce1a879292fbad2b1f5245dfd8
- Size of remote file:
- 272 MB
- SHA256:
- 77f39abe63a15956b27bc859f8e395112c0bc2b5f5fe487f84d2c0b96d2c1178
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